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Nanjing University
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Proxy models can slash RL post-training costs by up to 87.5% while maintaining critical fault reproduction capabilities.
SynCLIP resolves synonym-induced grounding inconsistencies, achieving unprecedented robustness in open-vocabulary dense perception tasks.
GILC enables state-of-the-art performance in discrete diffusion models without the computational burden of retraining, revolutionizing controllable generation tasks.
